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This study uses a qualitative method with a descriptive approach to examine the impact of social media on the honesty of teenagers toward their parents in Stabat Lama Barat Village. The aim of this research is to describe the extent to which the use of social media influences teenagers’ honest behavior in communication and interaction with their parents. In an increasingly advanced digital era, social media is not only a source of entertainment but also has a significant influence on character development and moral values, including honesty. The results show that some teenagers tend to hide their social media activities from their parents, either due to privacy concerns, fear of being scolded, or the desire to create a certain image online. This behavior leads to reduced openness and honesty in their daily lives. However, there are also teenagers who are able to use social media wisely while upholding honesty within the family. Factors such as moral education at home, parenting styles, and social environment play an important role in shaping honest attitudes among teenagers despite the rapid growth of digitalization.

This study aims to critically analyze the impact of the SIM card data leak by an anonymous actor named Bjorka on the level of public trust in digital security in Indonesia which first appeared in mid-2022, precisely in August 2022. In addition, it evaluates the extent to which the national legal system is able to provide protection for digital service users and examines the social, moral, and ethical responses of society in addressing the incident. This case demonstrates that data breaches are not merely technical issues but also shake the legitimacy of the state in safeguarding citizens’ privacy rights, while revealing gaps in regulatory systems and data governance. This research employs a qualitative approach with a descriptive method. Data were collected through literature reviews of scholarly articles, academic journals, policy reports, and relevant opinion pieces. The findings indicate that Bjorka’s data breach incident triggered a crisis of public trust in government institutions and digital service providers. The public responded with fear, anger, and disappointment, mainly due to the lack of transparency and accountability from the responsible parties. Moreover, the implementation of Law No. 27 of 2022 on Personal Data Protection is considered ineffective, both in terms of law enforcement and the readiness of technical and institutional infrastructure.

Di era transformasi digital dan big data, perlindungan data pribadi menjadi isu yang sangat mendesak, terutama dengan diberlakukannya Undang-Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi (UU PDP) di Indonesia. Artikel ini bertujuan untuk melakukan tinjauan kritis terhadap pelaksanaan UU PDP 2022, mengeksplorasi tantangan, peluang, serta dampaknya terhadap hak atas privasi individu. Metode yang digunakan adalah studi pustaka kualitatif dengan pendekatan deskriptif-analitis, mengkaji literatur terkini dan dokumen hukum melalui analisis tematik. Hasil kajian menunjukkan bahwa meskipun UU PDP 2022 telah memberikan kerangka hukum yang kuat, implementasinya masih menghadapi hambatan, mulai dari rendahnya literasi digital masyarakat, lemahnya pengawasan kelembagaan, hingga dominasi platform digital raksasa. Artikel ini memberikan kontribusi dengan menawarkan pemahaman baru tentang urgensi tata kelola data yang inklusif dan berbasis kepercayaan publik, sekaligus memberikan rekomendasi praktis bagi pemangku kepentingan. Kesimpulannya, perlindungan data pribadi memerlukan sinergi lintas sektor untuk menciptakan ekosistem digital yang adil, aman, dan berdaulat, serta perlu didukung penelitian lanjutan yang lebih mendalam dan komparatif.

Personal data protection is a crucial issue in the digital era, which is characterized by the processing and widespread dissemination of information on the internet. In this context, the different legal approaches between Indonesia and the United States raise questions regarding the effectiveness and scope of privacy protection in each country. The focus of this research is to analyze the legal systems applicable in both countries to identify the strengths, weaknesses, and potential for cross-system policy adoption. Using a normative juridical method and a comparative law approach, analysis is conducted on key regulations such as Law No. 27 of 2022 in Indonesia as well as various sectoral regulations in the United States. The findings show that Indonesia has integrated regulations but faces challenges in implementation, while the United States has more established enforcement despite its sectoral and fragmented nature. The synthesis of these two approaches emphasizes the importance of finding a balance between regulatory comprehensiveness and enforcement effectiveness. In conclusion, efforts to strengthen personal data protection in Indonesia can be directed towards strengthening institutions and oversight, while the United States can draw lessons from its centralized regulatory model to improve consistency of protection across sectors.

Teachers are under increasing pressure to deliver personalized, standards-aligned instruction while managing time constraints and rising workloads. Traditional lesson planning often limits creativity and adaptability due to its complexity and repetitive demands. In response, Artificial Intelligence (AI) has emerged as a promising tool to support instructional planning. This study highlights how AI enhances teacher efficiency, simplifies administrative tasks, and supports differentiated, data-driven instruction. However, these benefits require thoughtful and responsible integration. AI adoption must include safeguards for data privacy, ensure algorithmic transparency so teachers understand the basis of system recommendations, and actively mitigate systemic bias that may disadvantage certain learner groups. Most importantly, teachers should remain actively involved in reviewing and adapting AI-generated content to preserve professional judgment and uphold pedagogical integrity.

Non-Civil Servant Government Employees (PPNPN) are a vital component in the operational activities of an organization. However, their performance management faces challenges in efficiency and standardization. This scientific paper examines the potential implementation of Google Sites as a platform for PPNPN performance management. The analysis focuses on the existing regulatory framework. The proposed model leverages the integration of Google Sites with Google Forms, Google Sheets, and other supporting applications provided by Google to digitize the performance management cycle, from planning, monitoring, and evaluation (based on indicators such as integrity, discipline, teamwork, communication, and service), to documentation and feedback. The main advantages of this platform include administrative efficiency, increased data transparency and accessibility, centralized data management, potential for consisten process, collaboration, and cost-effectiveness. Nevertheless, its implementation faces significant challenges related to the digital literacy gap among PPNPN with diverse roles, data security and privacy issues in the public sector, the need for robust change management, feature limitations compared to specialized HRIS systems, particularly in the Ministry of Finance where the research object's office is located, and the necessity for adequate supporting infrastructure. This research concludes that Google Sites offers a technically viable solution, but its success highly depends on the organizational and human resource readiness of both the HR managers and the PPNPN themselves.

In the modern legal system, Deoxyribonucleic Acid (DNA) testing has become an important tool in the resolution of criminal and civil cases in Indonesia. The use of DNA can assist in determining blood relations, uncovering sexual abuse cases, and proving involvement in other crimes. Nonetheless, there are various legal issues that arise regarding the collection of DNA specimens without the consent of the sample owner. In Indonesia, although there are personal data protection regulations such as the Health and Population Administration Law, there are no specific provisions regarding the legality of unauthorized DNA sampling. This creates uncertainty in the legal system, especially in terms of evidence being recognized in court. Unauthorized DNA sampling can violate an individual's right to privacy guaranteed by the 1945 Constitution and the Criminal Procedure Law. This potentially makes DNA test results inadmissible as valid evidence in court. Therefore, this study aims to analyze the legality of the practice of unauthorized DNA sampling and its impact on the legal evidentiary system in Indonesia. The study also highlights the importance of medical ethics and legal protection of privacy in determining the validity of DNA evidence in judicial proceedings. It also explores the role of medical ethics and privacy law in determining the validity of DNA test results in the judicial process, and provides recommendations for clearer regulations regarding DNA sampling procedures.

The protection of victims of sexual violence in Indonesia's national legal system is representative of the state's commitment to uphold human dignity, as mandated by the constitution. The constitutional basis for this protection is stated in the 1945 Constitution of the Republic of Indonesia, especially Article 28G paragraph (1), which states that everyone has the right to protection of privacy, honor, dignity, and freedom from treatment that degrades human values. Currently, sexual violence can occur anywhere, especially in the scope of education. The impact of sexual violence causes a lot of harm to its victims, from the impact on the victim's psychology to the physical impact. The purpose of the research is related to the effectiveness of law enforcement or the operation of the law and the background of the law. Whether a legal protection can protect the rights of victims of sexual violence, and provide proper protection that must be obtained for victims of sexual violence. This research uses emprical research methods and a case approach which is used to analyze the handling of cases of “Sexual Violence and Forced Abortion” as a real form of legal application. With the existence of legal protection for victims of sexual violence provided by the state, it does not guarantee victims get the promised justice. Social stigma is one that can exacerbate the suffering of victims, making them isolated and reluctant to seek help. Society often tends to blame the victim, creating an unsupportive and even demeaning environment. Therefore, it is important to address social stigma in the context of sexual violence to impact the well-being of the individual as well as society as a whole.

The development of information and communication technology has changed the pattern of human interaction, which was initially done face-to-face, to digital. The positive impact of internet usage is to facilitate connection and access to information, but it can also result in negative impacts such as cybercrime. The purpose of this research is to determine the crime of cyberstalking reviewed from Law Number 1 of 2024 concerning the Second Amendment to Law Number 11 of 2008 concerning Information and Electronic Transactions (ITE). This research is normative legal research that is prescriptive and uses a statutory approach, case approach, and conceptual approach. The collection of legal materials uses literature study techniques or document studies using syllogistic analysis techniques and using deductive thinking patterns. From the research, it was found that cyberstalking can be in the form of stalking followed by sexual harassment, privacy interference and continuous threats. In addition, cyberstalking is regulated in Law Number 1 of 2024 concerning Information and Electronic Transactions. However, this law has not been clearly or specifically regulated regarding stalking in the digital realm. Therefore, we need strict regulations regarding cyberstalking crimes.

This study is a descriptive qualitative study that aims to describe sexual education provided by parents at Taman Firdaus Christian Kindergarten, Balige, North Sumatra. Data were obtained through direct interviews with the Principal, teachers, and several parents. The results showed that teachers and parents at Taman Firdaus Christian Kindergarten had provided basic teaching about the physical differences between boys and girls. However, an explanation of the genitals and their names had not been given because it was considered inappropriate for the age of the children. The main focus of teaching was on norms of politeness and privacy, although a comprehensive understanding of sexuality had not been achieved. Understanding of boundaries and privacy was taught by emphasizing the importance of maintaining privacy, such as not showing genitals to the opposite sex and maintaining physical distance. However, there were challenges such as the limitations of school policies in separating boys' and girls' toilets. The use of appropriate language in sexual education has been carried out well, although consistency in the school environment and at home needs to be improved. Parental involvement in children's sexual education is considered important, but there are obstacles in the form of parental discomfort in discussing sexuality topics with their children at home. The descriptive approach in this qualitative study aims to describe in detail the events, phenomena, and social situations that are the focus of the study. Analysis is carried out by giving meaning, interpreting, and comparing the data obtained to gain a deep understanding of the subject being studied.

Data security is a crucial aspect in the use of digital wallet applications, especially in Indonesia where its implementation is increasing. This study aims to explore user perceptions of the level of data security in the DANA e-wallet application through a qualitative approach. Data were obtained through in-depth interviews with a number of active users, then analyzed thematically to identify factors that influence their sense of security in using the application. The results of the study show that transparency, privacy policies, ease of use of security features, and the reputation of service providers are important elements in building user trust. This study is expected to contribute to the development of data security management strategies in e-wallet applications in order to increase consumer satisfaction and loyalty.

This study explores the role of Big Data in crisis communication in the digital age, where information dissemination happens quickly through various platforms. This transformation poses challenges such as the risk of spreading fake news and reputation crises. Big Data plays an important role in detecting potential crises early, as well as in understanding the dynamics of public opinion and designing more responsive and effective communication strategies. Through real-time data collection and analysis from various sources, such as social media and news reports, organizations can build smart and adaptive monitoring systems. This research uses a descriptive qualitative approach to explore the role of Big Data in crisis communication in the digital era. The results show that the crisis detection process starts from data collection, cleaning, to sentiment analysis that helps organizations measure public response. However, the application of Big Data also faces considerable challenges, including the complexity of processing data with high accuracy, privacy issues, and the readiness of infrastructure and human resources in the organization. This research provides clearer insights into the strategies that can be used to optimize Big Data in crisis communications, so that organizations can strengthen communication effectiveness, maintain reputation, and build public trust amidst evolving information challenges.

This research examines the implementation of the principle of openness in the examination of cases in civil court proceedings in Indonesia, focusing on two main issues: (1) how the principle of openness is regulated and applied in civil court practices, and (2) what key obstacles hinder the implementation of this openness. The purpose of the study is to provide an in-depth overview of the mechanisms for implementing the principle of openness in the civil judicial process and to identify inhibiting factors that need to be addressed promptly in order to make the judicial system more transparent and accountable. This study employs a normative juridical method with a statutory and conceptual approach. Data were obtained through literature review, including legislation, legal doctrines, and relevant court decisions, and analyzed using a descriptive-analytical method. The findings indicate that the principle of openness is well accommodated normatively within Indonesia’s civil judicial system; however, its implementation still faces significant challenges, such as limited supporting facilities, inadequate dissemination among judicial officers, and the tension between protecting the privacy of parties and ensuring public access to information. To address these issues, improvements in technological infrastructure, human resource training, and internal policy revisions are essential steps to optimize the principle of openness in civil court proceedings.

Psychological assessment in the context of guidance and counseling is a crucial process for understanding the client's condition, potential, and needs comprehensively. However, in its implementation, ethical aspects become the main foundation that cannot be overlooked, particularly confidentiality and objectivity. This article aims to thoroughly examine the ethical principles in the implementation of psychological assessments, focusing on two main aspects: (1) how to maintain the confidentiality of client assessment results to prevent misuse of the obtained information and protect individual privacy, and (2) identifying the challenges faced by counselors in maintaining the objectivity of assessments and formulating practical solutions to address them. This research method employs a literature review approach and focuses on two key roles of the above concepts.

This article discusses the importance of ethics in psychological assessment, particularly within the context of guidance and counseling, focusing on strategies to maintain confidentiality and objectivity. Confidentiality is a fundamental principle that must be upheld by counselors and psychologists to protect clients’ rights and privacy, as well as to build trust in the professional relationship. Strategies include transparent explanations of confidentiality limits, the use of informed consent, and the implementation of data security technologies such as encryption and role-based access restrictions. Furthermore, objectivity in assessment is maintained through the use of valid and reliable instruments and unbiased approaches to ensure accurate and fair results. By consistently applying ethical principles, the assessment process can provide optimal benefits to clients and uphold the integrity of the guidance and counseling profession.

The general election as a pillar of democracy faces new challenges with the rapid development of information technology, one of which is the practice of doxing—disseminating personal data without consent to harm individuals. In the context of Indonesia’s 2024 General Election, doxing cases have increased, targeting political figures and ordinary citizens, potentially undermining political participation and violating the right to privacy. This study aims to analyze the legal framework governing doxing based on Law Number 1 of 2024 concerning Electronic Information and Transactions (ITE Law) and Law Number 27 of 2022 concerning Personal Data Protection (PDP Law), as well as to examine the form of criminal liability for perpetrators of doxing in the context of the 2024 election. This normative juridical research employs statutory, conceptual, and case approaches. The findings reveal that although not explicitly regulated, doxing can be classified as a legal violation under the two laws. However, law enforcement still faces technical and normative obstacles, such as difficulty in identifying perpetrators and proving intent. Strengthening legal provisions and the capacity of law enforcement officers is essential to ensure accountability without compromising democratic principles.

Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined in the previous research, despite the significant advancements in this area of research. Furthermore, previous research has rarely synthesized how these technical components help students choose appropriate courses and careers. This systematic review was carried out to investigate the current state of machine learning-based course and career recommender systems, focusing on key elements, such as primary data sources, feature engineering methods, algorithms, optimization techniques, evaluation metrics, and the environments where the existing course recommendation models are deployed. The PRISMA method for conducting a systematic review was used to choose studies that met the requirements for inclusion and exclusion. The study findings show significant reliance on interpretable and traditional machine learning algorithms, such as K-Nearest Neighbor and Random Forest, to develop recommender models. Feature engineering remains basic, as most studies rely on normalization, while optimization processes are often underreported. Also, evaluation metrics varied widely, impeding comparability, while most of the recommender models are deployed in an e-learning environment, leaving the traditional learning environment underrepresented. Furthermore, the study findings identified issues including data sparsity and diversity, data security and privacy, and changes in learner preferences that may have an impact on the performance of recommender systems while recommending further studies to make use of standardized optimization methods, and automated domain-informed feature engineering frameworks, benchmark and annotated datasets in developing models the gives priority to learners’ success and educational relevance.

The advancement of information and communication technology in the era of the Industrial Revolution 4.0 has given rise to various digital innovations, one of which is deepfake technology that utilizes artificial intelligence and machine learning to manipulate audio-visual content convincingly. Although it has positive potentials in entertainment and education, the misuse of deepfake on social media has caused various legal and ethical issues, such as the spread of hoaxes, defamation, privacy violations, and non-consensual pornography. This study aims to analyze the use of deepfake from the perspective of Indonesian law, particularly through Law Number 11 of 2008 on Electronic Information and Transactions (ITE Law) and its amendments. Using a qualitative descriptive approach and literature study methods, this research examines the technical aspects of deepfake development, the relevance of ITE Law articles in regulating manipulative content, and the challenges of law enforcement amid low digital literacy in society. The findings show that although there are no explicit provisions concerning deepfake in the ITE Law, several articles can serve as a legal basis to prosecute offenders, albeit with interpretative and technical implementation challenges. Therefore, regulatory updates and improvements in digital literacy are necessary to prevent and effectively handle the misuse of deepfake technology.

The rapid digital transformation in Indonesia has intensified the need for robust personal data protection, particularly through the mechanism of the Data Protection Impact Assessment (DPIA) as stipulated in Law Number 27 of 2022 concerning Personal Data Protection (PDP Law). This study employs a normative juridical and qualitative approach to examine the role of DPIA as a key instrument in identifying, evaluating, and mitigating privacy risks in high-risk personal data processing activities. The findings reveal that although DPIA represents a significant normative advancement, its implementation faces major challenges, including the absence of detailed technical regulations, limited institutional capacity, and insufficient data subject involvement. By comparing international best practices, this research highlights the urgent need to strengthen regulatory frameworks, enhance digital and privacy literacy, and develop a collaborative ecosystem to optimize the DPIA function. Normative recommendations are formulated to reinforce DPIA as a risk management tool and a safeguard for privacy rights, aiming to foster a secure and trustworthy digital ecosystem amid ongoing digital transformation.

The rapid development of smart cities, integrating technologies like artificial intelligence (AI), the Internet of Things (IoT), and big data analytics, has transformed urban environments, improving public services and governance. However, this progress presents challenges in inclusivity, accountability, and equity, requiring updates to public service law to address emerging concerns. As digital technologies reshape governance, legal frameworks must balance innovation with citizens' rights protection. This study explores the intersection of law, technology, and society in smart cities, focusing on the implications of digital transformation on public service law. It identifies challenges in governance, including the digital divide, privacy protection, and data security. The research aims to propose an inclusive legal framework that supports technological innovation while promoting accountability and social equity in smart cities. A socio-legal approach is used, combining case studies, policy analysis, and stakeholder interviews. The findings reveal that while digital transformation improves efficiency, challenges remain in citizen participation and reducing inequalities. Successful smart city models, such as those in Barcelona and Tallinn, prioritize inclusivity, accountability, and participation. The study highlights the need for flexible, adaptive legal frameworks to ensure that smart cities are governed inclusively, transparently, and equitably.